AI Prompt Generator for Gut Health
Format your Bristol stool distribution, pain scores, and suspected food triggers into a clinical prompt recognized by ChatGPT, Claude, and Perplexity.
Paste this structured prompt directly into ChatGPT, Claude, or Perplexity. It contains zero personally identifiable data.
Act as a clinical data analyst and functional health researcher specializing in gastroenterology and motility patterns. I am sharing my logged digestive health data to uncover patterns, identify potential dietary/lifestyle correlations, and prepare discussion points for my gastroenterologist. This is for pattern recognition and lifestyle analysis, not a formal medical diagnosis. ### Patient Data Overview (Last 30 Days) - **Predominant Stool Form:** Bristol Type 6 - **Bristol Distribution:** 10% Constipation (Type 1–2) | 30% Normal (Type 3–4) | 60% Diarrhea (Type 5–7) - **Motility & Sensation:** Avg Pain: 6/10 | Avg Urgency: 4/5 | Incomplete Evacuation: 45% - **Current Diet / Regimen:** Low-FODMAP - **Top Symptoms:** Bloating, Cramping - **Suspected Food Triggers:** Garlic / Fructans ### Please Provide Your Analysis in the Following Structure: 1. **Motility & Stool Analysis:** What does this Bristol distribution, daily frequency, and urgency pattern suggest regarding transit speed and gut motility? 2. **Triggers & Symptom Correlations:** Based on the recorded triggers and top symptoms, what potential food intolerances, FODMAP sensitivities, or physiological factors warrant deeper investigation? 3. **Clinical Patterns to Consider:** What conditions or subtypes (e.g., IBS-C/D/M, SIBO, bile acid diarrhea, pelvic floor dysfunction) typically exhibit this clinical profile? 4. **Physician Discussion Guide:** Suggest 3–4 targeted, high-yield questions using clinical terminology that I can bring to my next gastroenterology or primary care appointment.
Stop typing symptom numbers manually
GutLog compiles this exact clinical prompt automatically from your daily on-device logs with one tap, including Poisson arrival lift scores and lag window calculations.
How to use AI safely for gut health
Why does structuring data improve AI responses?
Large language models provide generic advice when given open-ended narrative complaints. Providing quantitative motility scores, Bristol percentages, and specific lag windows forces the AI model to analyze patterns mathematically and suggest clinical discussion points.
How do I protect my personal health privacy?
Never submit your full name, birth date, exact home address, or identifiable personal notes to external AI models. Aggregate your entries into clinical percentages first. GutLog compiles your prompt on-device without sending your raw health logs to external databases.
Can an AI replace my gastroenterologist?
No. Artificial intelligence cannot perform colonoscopies, interpret blood work, or diagnose inflammatory conditions. Use AI models strictly to organize your symptom timeline and draft targeted questions for your physician.
Compile this prompt automatically in GutLog
GutLog calculates your 30-day Bristol distribution and trigger lift scores in the background. Tap one button to export a fresh prompt anytime.
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